Neural networks for prediction of nucleotide sequences by using genomic signals

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作者：
Biomedical Engineering Center, Universitry Politechnica of Bucharest, Spl. Independentei 313, sect. 6, 060042 Bucharest, Romania [1 ]
不详 [2 ]
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来源：
WSEAS Trans. Syst. | 2008年 / 7卷 / 637-644期
关键词：
Error correction - Signal processing - Forecasting - Genes;
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摘要：
The conversion of symbolic sequences into complex genomic signals allows using signal processing methods for the handling and analysis of nucleotide sequences. This methodology reveals surprizing regularities, both locally and at a global scale, allowing us to predict nucleotides in a sequence, when knowing the preceding ones. Such experiments have a major biologic significance, as they explore the possibility and the efficiency of error correction in processes like replication, transcription and translation.
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